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- Tasks: Deliver engaging Data Analytics training sessions and mentor apprentices remotely.
- Company: Join a dynamic team focused on high-quality Apprenticeship solutions in data analytics.
- Benefits: Enjoy remote work flexibility, 25 days holiday, and continuous professional development.
- Why this job: Make a real impact by guiding learners through their qualification journey in a supportive environment.
- Qualifications: Teaching qualifications and relevant industry experience in Data Analytics are essential.
- Other info: Occasional travel to Central London for in-person workshops required.
The predicted salary is between 32000 - 48000 £ per year.
Location: Remote with occasional travel (6 days per year) to Central London
Salary: Up to £45,000
Benefits: 25 days holiday plus bank holidays
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About the Role
An exciting opportunity has arisen for a Data Analyst Trainer to deliver high-quality training on government-funded Data Analytics Apprenticeships. This role is predominantly remote, leveraging the latest online learning platforms, with occasional in-person sessions in Central London. As a Data Analyst Trainer, you will play a vital role in guiding learners through their qualification journey, helping them build a portfolio that demonstrates their practical skills and knowledge while fostering a positive and engaging learning environment.
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Key Responsibilities of the Data Analyst Trainer:
- Deliver Engaging Training Sessions: Provide dynamic and interactive Data Analytics training sessions remotely, with occasional in-person workshops, catering to various learning styles and ensuring an inclusive learning environment.
- Mentorship and Learner Support: Act as a mentor to apprentices, offering guidance and support in building work-based skill portfolios, ensuring they achieve their learning objectives and successfully complete their qualifications.
- Curriculum Development and Enhancement: Collaborate with the Curriculum & IQA and Service Delivery Teams to develop, enhance, and innovate training methodologies. Tailor teaching approaches to meet individual learner needs and industry requirements.
- Continuous Curriculum Review: Regularly review and update curriculum content to ensure relevance and accuracy, reflecting industry standards and emerging trends in data analytics.
- Progress Monitoring and Feedback: Track and monitor learner progress through various assessment methods, providing constructive feedback to promote development and achievement.
- Communication and Collaboration: Maintain regular communication with the Apprenticeship and Career Support teams to identify and support learners at risk of falling behind or requiring additional assistance.
- Training Plans and Customisation: Design and implement effective training plans that align with both employer and apprentice needs, ensuring a bespoke and flexible approach to learning.
- Quality Assurance and Compliance: Ensure all training delivery and assessment practices comply with internal quality assurance standards and external regulatory requirements.
- Safeguarding and Well-being: Uphold safeguarding and well-being standards, promoting a safe and supportive learning environment for all apprentices.
- Professional Development and Best Practices: Actively participate in professional development opportunities, sharing best practices with colleagues to enhance teaching and learning across the organisation.
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Required Technical Skills:
- Introduction to Data Structures & the Analytics Cycle
- Databases with SQL
- Data Visualisation with Tableau
- Dashboards & ETL Pipelines with Power BI
- Statistics, Modelling & Analytics with R
- Data Architecture & Governance
- Programming with Python
- Big Data
- Mongo DB (optional)
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Essential Qualifications/Experience:
- Teaching Qualifications:
o PGCE, CertEd, QTS or Level 4 Teaching qualification; or
o Level 3 Teaching qualification and willingness to achieve Level 4 within the first 6 months. - Maths & English Qualifications:
o Level 2 or above in both Maths and English (e.g., GCSE A*-C / 9-4, Functional Skills Level 2). - Industry Experience and Technical Competency:
o Relevant industry experience and technical competence in Data Analytics.
o Experience delivering Apprenticeship Training Programmes, particularly in a remote setting.
o Familiarity with online learning platforms and digital teaching tools.
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Benefits:
- Remote Working Flexibility – Enjoy a predominantly remote role with occasional travel for team collaboration and learner engagement.
- Generous Holiday Entitlement – 25 days holiday plus bank holidays.
- Continuous Professional Development – Access to ongoing training and development opportunities.
- Supportive Work Environment – Be part of a dynamic team dedicated to delivering high-quality Apprenticeship solutions.
For more information please contact Simon Atkins on 07894 752230
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Data Analyst Trainer- Apprenticeships. Job in London Education & Training Jobs employer: Pertemps Network Group
Contact Detail:
Pertemps Network Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Trainer- Apprenticeships. Job in London Education & Training Jobs
✨Tip Number 1
Familiarize yourself with the latest online learning platforms and digital teaching tools. Since this role is predominantly remote, showcasing your proficiency in these technologies during the interview can set you apart from other candidates.
✨Tip Number 2
Highlight any previous experience you have in delivering apprenticeship training programs, especially in a remote setting. Be prepared to discuss specific examples of how you've engaged learners and tailored your teaching methods to meet diverse needs.
✨Tip Number 3
Stay updated on industry trends in data analytics and be ready to discuss how you would incorporate these into your training sessions. This shows your commitment to continuous curriculum review and enhancement, which is crucial for this role.
✨Tip Number 4
Prepare to demonstrate your mentorship skills by sharing examples of how you've supported learners in achieving their goals. This will help illustrate your ability to foster a positive and engaging learning environment, which is key for a Data Analyst Trainer.
We think you need these skills to ace Data Analyst Trainer- Apprenticeships. Job in London Education & Training Jobs
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Analyst Trainer position. Understand the key responsibilities and required skills, as this will help you tailor your application to highlight relevant experiences.
Highlight Relevant Experience: In your CV and cover letter, emphasize any previous experience in delivering training or mentorship, especially in a remote setting. Mention specific examples of how you've supported learners in achieving their goals.
Showcase Technical Skills: Clearly outline your technical competencies related to data analytics, such as proficiency in SQL, Tableau, Power BI, and Python. Provide examples of how you've applied these skills in real-world scenarios.
Personalize Your Application: Address your application to the hiring manager if possible, and express your enthusiasm for the role. Mention why you are particularly interested in working with this company and how you can contribute to their mission of delivering high-quality apprenticeship solutions.
How to prepare for a job interview at Pertemps Network Group
✨Showcase Your Teaching Skills
Prepare to demonstrate your teaching abilities by discussing your previous experiences in delivering training sessions. Highlight how you engage learners and adapt your methods to cater to different learning styles.
✨Familiarize Yourself with the Curriculum
Review the key responsibilities and required technical skills mentioned in the job description. Be ready to discuss how you would enhance the curriculum and tailor your teaching approaches to meet individual learner needs.
✨Emphasize Mentorship Experience
Share examples of how you've acted as a mentor in the past. Discuss how you supported learners in building their portfolios and achieving their qualifications, showcasing your commitment to their success.
✨Prepare for Remote Training Scenarios
Since the role is predominantly remote, be prepared to discuss your experience with online learning platforms and digital teaching tools. Share strategies you would use to maintain engagement and monitor progress in a virtual setting.
